Computerised Auto-Scoring System Based Upon Feature Extraction and Neural Network Technologies

This paper presents an application of pattern recognition for the shooting target paper image. This is a two-stage approach. First, essential features of local images are properly defined and extracted from the target paper image. Then the Fuzzy C-Means clustering is carried out for determining the...

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Bibliographic Details
Published inJournal of intelligent & robotic systems Vol. 29; no. 4; pp. 335 - 347
Main Authors Hou, D J, Song, Q, Soh, Y C
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Nature B.V 01.12.2000
Subjects
Algorithms
Classification
Fuzzy
Fuzzy logic
Fuzzy set theory
Learning
Neural networks
Studies
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Summary:This paper presents an application of pattern recognition for the shooting target paper image. This is a two-stage approach. First, essential features of local images are properly defined and extracted from the target paper image. Then the Fuzzy C-Means clustering is carried out for determining the initial parameters and structure of the RBF classifier, which is further enhanced by the hybrid leaning algorithm. Experimental results show that the system achieves satisfactory performance both in terms of error rates of classification and learning efficiency.[PUBLICATION ABSTRACT]
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0921-0296
1573-0409
DOI:10.1023/A:1008107924617